M.S. in Artificial Intelligence

AI drives almost every business today, from faster medical diagnosis to self-driven automobiles. The need for qualified AI engineers and analysts to meet the increasing demands of a global ecosystem has steadily increased by 32% since 2019. AI empowers you to impact the present and future of technology. 

** Credits earned in the Graduate Certificate in Artificial Intelligence may be applied to the M.S. in Artificial Intelligence

*** NOTE: F1 Visa Students are currently not eligible to enroll at our Jersey City location

M.S. Programs

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The Master of Science (M.S.) in Artificial Intelligence (AI) acclimates students to the ongoing AI revolution that has already produced computer programs with problem-solving and content-generating abilities that complement and enhance human abilities. 

The program offers theoretical and practical knowledge that enables students to apply AI techniques in various application domains. It comprises methods to solve problems that are easy for humans but hard for digital computers, such as Natural Language Understanding, Natural Language Generation, and Image Understanding. Machine Learning, Deep Learning and Large Language Models are important topics of study for the M.S. in Artificial Intelligence.

Numerous industries, including manufacturing, healthcare, finance, and even the fight against climate change, use AI.

Students will have the opportunity to collaborate with faculty on projects involving applications in bioengineering, healthcare, cybersecurity, data analytics, finance, and many other fields.

Students are required to take (4) core courses from the following list:

CS 634 Data Mining
DS 669 Reinforcement Learning
CS 670 Artificial Intelligence
DS 675 Machine Learning
DS 677 Deep Learning
DS 680  Natural Language Processing
DS 789  Trustworthy AI

Students may choose an elective outside the list after approval from their respective advisor.

CS 632

 Advance Database System Design
CS 659 Image Processing and Analysis
CS 681 Computer Vision
CS 708 Advanced Data Security and Privacy
CS 732 Advanced Machine Learning
CS 735 High Performance Analytics for Data Science

 

Students who receive a master's degree in AI from NJIT will be able to demonstrate their expertise in the following areas:

  • Design and build custom AI models using a general-purpose programming language (Python) and frameworks such as Tensorflow and PyTorch.
  • Design and develop software in the form of scalable AI software architectures and APIs.
  • Process and analyze a variety of data in different formats including text, images, audio, videos, and time series data.
  • Formulate complex problem statements and solve them using specific AI models. 
  • Present AI applications and methodologies effectively and clearly. 

Students in the Master of Science in Artificial Intelligence (MSAI) program must successfully complete 30 credits based on any of the following options:

10 Courses (30 credits)

9 Courses (27 credits) + MS Project (3 credits)

8 Courses (24 credits) + MS Thesis (6 credits)

Independent of the chosen option, 4 out of 7 core courses are required.

If a student chooses the MS thesis option, the thesis must be related to Artificial Intelligence and requires approval from a professor in the Data Science Department who will be the MS thesis advisor.

Jersey City Cohort Students (non-F1 visa): Tuition, University Fee, and GSA Fee per consecutive semester, regardless of residency, assuming two Jersey City courses (6 credits) at 2024-2025 rates

  • Fall 2024: $7,440
  • Spring 2025: $7,440
  • Summer 2025: $6,091

 

M.S. Degrees: Total Tuition, University Fee, and GSA Fee Costs, assuming two Jersey City courses (6 credits) over five consecutive semesters at 2024-2025 rates

  • Fall Start: $35,851
  • Spring Start: $34,502
  • Summer Start: $34,502

 

Ying Wu College of Computing
Quinn Hardrick
Student Outreach Manager
973-642-7037
quinn.hardrick@njit.edu

University Admissions
Yaslie Pared
Enrollment Services Manager
973-596-6292
yaslie.pared@njit.edu

NJIT@JerseyCity Location
Julio Oyola
Associate Director of Operations for NJIT@JerseyCity
973-596-6323
julio.oyola@njit.edu